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  <titleInfo>
    <title>Simulating neural networks with Mathematica</title>
  </titleInfo>
  <name type="personal">
    <namePart>Freeman, James A.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource/>
  <originInfo>
    <place>
      <placeTerm type="text">Reading, Mass</placeTerm>
    </place>
    <publisher>Addison-Wesley</publisher>
    <dateIssued>c1994</dateIssued>
    <issuance/>
  </originInfo>
  <physicalDescription>
    <extent>x, 341 p. : ill. ; 25 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction To Neural Networks And Mathematica (Page-1), Training By Error Minimization (Page-3), Back propagation And Its Variants (Page-67), Probability And Neural Networks (Page-115), Optimization And Constraint Satisfaction (Page-153), Feedback And Recurrent Networks Page 177, Adaptive Resonance Theory (Page-209), Genetic Algorithms (Page-259).</tableOfContents>
  <note type="statement of responsibility">James A. Freeman.</note>
  <subject authority="lcsh">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <classification authority="ddc">006.3,FRE</classification>
  <identifier type="isbn">020156629X</identifier>
  <identifier type="lccn">92002345</identifier>
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    <recordChangeDate encoding="iso8601">20221024124513.0</recordChangeDate>
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